Webscale AI - 2026 Pricing, Features, Reviews & Alternatives

Webscale AI is the Agentic Commerce OS for ecommerce merchants who want AI that gets the answer right. It replaces generic, bolt-on AI tools with a platform built from first-party commerce data up.

Most AI shopping tools pull from a product feed and guess. Webscale AI captures first-party behavioral data, sessions, carts, purchase history, in real time at the infrastructure layer, then builds AI on top of that foundation instead of a static export.

The platform runs on layers that build on each other:

CDP: captures and structures first-party behavioral data in real time. This is the foundation everything else runs on.

AI Segmentation: a plain-English interface that turns CDP data into deployable audience segments, no SQL and no analyst queue, with segments that update as shoppers act.

AI Shopping Assistant: a single conversational interface for product discovery, product Q&A, order status and customer support. An orchestrator routes each request to the right specialist agent behind the scenes, so shoppers get one connected conversation covering their whole visit.

Merchants stay in control. Custom workflows trigger on keywords for things like complaint handling or a promo period. Every agent, including support, orders, returns, inventory, search and the router, accepts merchant-specific instructions for brand voice, business rules and promotions. Product Q&A answers point back to the exact line of product copy that backs them, so the assistant stays grounded in what the merchant actually indexed.

Webscale AI serves D2C and B2B ecommerce merchants from SMB to mid-market, on Adobe Commerce, Magento Open Source, Shopware and Shopify. It is built for merchants where a wrong AI answer carries real weight. That includes regulated and restricted commerce such as firearms, cannabis, alcohol and tobacco. It also covers B2B distribution with contract pricing and large catalogs, plus high-consideration specialty retail with deep, technical product lines.

The result is one infrastructure-native layer instead of separate tools bought and integrated one at a time: search, personalization and storefront chat. One contract, one onboarding and one data foundation the merchant owns.